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Hemodynamics in Patients with Aortic Coarctation: A Comparison of in vivo 4D-Flow MRI and FSI Simulation
Department of Bioengineering, Stanford University, Stanford, USA.
Department of Pediatrics, Stanford University, Stanford, USA.
KTH, Skolan för kemi, bioteknologi och hälsa (CBH), Medicinteknik och hälsosystem, Hälsoinformatik och logistik.ORCID-id: 0000-0001-6867-8270
Department of Radiology, Stanford University, Stanford, USA; Division of Radiology, VA Palo Alto Health Care System, Palo Alto, USA.
Vise andre og tillknytning
2023 (engelsk)Inngår i: Functional Imaging and Modeling of the Heart: 12th International Conference, FIMH 2023, Proceedings, Springer Nature , 2023, s. 515-523Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The analysis of quantitative hemodynamics provides information for the diagnosis and treatment planning in patients with aortic coarctation (CoA). Patient-specific computational fluid dynamics (CFD) simulations reveal detailed hemodynamic information, but their agreement with the clinical standard 4D-Flow magnetic resonance imaging (MRI) needs to be characterized. This work directly compares in vivo CFD fluid-structure interaction (FSI) simulations against 4D-Flow MRI in patients with CoA (N = 5). 4D-Flow MRI-derived flow waveforms and cuff blood pressure measurements were used to tune the boundary conditions for the FSI simulations. Flow rates from 4D-Flow MRI and FSI were compared at cross-sections in the ascending aorta (AAo), CoA and descending aorta (DAo). Qualitative comparisons showed an overall agreement of flow patterns in the aorta between the two methods. The R 2 values for the flow waveforms in the AAo, CoA, and DAo were 0.97, 0.84 and 0.81 respectively, representing a strong correlation between 4D-Flow MRI measurements and FSI results. This work characterizes the use of patient-specific FSI simulations in quantifying and analyzing CoA hemodynamics to inform CoA treatment planning.

sted, utgiver, år, opplag, sider
Springer Nature , 2023. s. 515-523
Serie
Lecture Notes in Computer Science, ISSN 03029743 ; 13958
Emneord [en]
4D-Flow MRI, Aortic coarctation, Computational fluid dynamics, Fluid-structure interaction, Hemodynamics
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-338037DOI: 10.1007/978-3-031-35302-4_53ISI: 001515772300053Scopus ID: 2-s2.0-85172723353OAI: oai:DiVA.org:kth-338037DiVA, id: diva2:1804609
Konferanse
Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings, Lyon, France, Jun 22 2023 - Jun 19 2023
Merknad

Part of ISBN 9783031353017

QC 20231013

Tilgjengelig fra: 2023-10-13 Laget: 2023-10-13 Sist oppdatert: 2025-12-05bibliografisk kontrollert

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